This role focuses on building and evaluating ML models for business growth, specifically using causal inference and deep learning techniques. The responsibilities include designing, developing, and validating causal inference models, partnering on A/B tests, prototyping new methods, communicating technical findings to executives, and establishing monitoring systems for deployed models. The role aims to integrate ML models into production serving systems and ensure their ongoing accuracy.

Senior Software Engineer on the Pomelli team, responsible for building high-performance web interfaces and prototyping advanced AI features for a marketing platform for small businesses. The role involves taking broad concepts and turning them into functional products, making critical architectural choices, and working at the intersection of web design and AI. The team is part of Google Labs, focused on incubating early-stage efforts.

This role is for a Senior Security Engineering Manager to lead a new team in Singapore focused on securing Alphabet's enterprise systems and data in the context of AI adoption. The team will develop novel approaches and use AI-motivated automation to manage AI enterprise security risks and enable safe enterprise use of AI, particularly agentic AI workflows.

Senior Software Engineer role focused on building foundational infrastructure for Generative AI agents within Vertex AI Notebooks, a key platform for enterprise AI.

Senior Software Engineer, Google Cloud, Generative AI, Blackbelt role focused on helping customers adopt and integrate Google's Generative AI solutions, including AI Agents and Gemini Enterprise. The role involves understanding customer needs, providing technical expertise, developing integration strategies, and supporting developers in leveraging Generative Language APIs. It requires experience in software development, Python, data science/ML, and specifically with GenAI and AI Agents.

Staff Software Engineer at Google Cloud, focusing on AI/ML for Identity and Access Management infrastructure. The role involves architecting and implementing agentic authorization solutions, leading the integration of AI/ML into IAM, and driving the technical vision for scalable infrastructure systems. This includes building a platform for customers to deploy multi-agent ecosystems and connect LLMs securely within GCP. The position also involves technical leadership, mentoring engineers, and ensuring system operational health.

Senior Software Engineering Manager for Google's XR Platform, focusing on AI-powered interfaces and agentic systems. This role involves technical leadership, team management, and defining roadmaps for next-generation XR experiences that converge AI and XR technologies.

This role is for a Senior Data Cloud Blackbelt Manager at Google, focused on incubating and accelerating the adoption of Google's data cloud and AI capabilities for enterprise customers. The manager will lead a team in building and deploying sophisticated AI agents, acting as a technical counterpart to customer executives and influencing product roadmaps.

This role manages a team of engineering analysts focused on building AI systems for account and device integrity, threat detection, and automation. The primary focus is on developing and deploying AI agents and foundational models to automate operational tasks and improve security defenses. The role involves cross-functional collaboration and influencing stakeholders.

Staff Software Engineer for Gemini Live, a multi-modal AI assistant focused on user interaction, productivity, and learning experiences. The role involves defining and driving front-end architecture, engineering multi-modal experiences, developing non-verbal communication systems for low-latency responses, and partnering with GenAI/Model teams to integrate advanced capabilities and establish quality metrics.

Staff Software Engineer at Google Cloud focused on building an organization-wide fleet health platform for databases. This platform leverages LLMs and AI to provide actionable insights, unified management, and a conversational agent for customers to pinpoint and resolve issues in their database fleet. The role involves designing and building centralized fleet management systems, partnering with product and engineering teams, and improving the operational health of these systems.

Senior Software Engineer role focused on building and operating Generative AI products for the public sector, involving data synthesis, retrieval applications, ML inference optimization, and ML infrastructure management.

Software Engineering Manager II for the Deep Research team within the Agentic Validation organization, focusing on building agentic AI solutions to improve coding agents. The role involves technical leadership, people management, and driving projects related to codebase intent extraction, exploratory testing, and agentic validation.

Software Engineer role focused on applying AI/ML to optimize the fault tolerance and reliability of Google's global data center fleet, including ML TPUs. The role involves designing and implementing ML models for fault prediction and mitigation, analyzing large-scale telemetry data, and building scalable automated systems. It requires experience in ML infrastructure, model deployment, and data processing, with a focus on improving the reliability of AI/ML systems and traditional compute infrastructure.

Senior Software Engineer role focused on Generative AI within Google Ads, specifically on Ads Safety. The role involves developing and testing product/system code, participating in design reviews, and reviewing code. Requires experience with ML infrastructure, state-of-the-art GenAI techniques (LLMs, Multi-Modal, Large Vision Models), and GenAI-related concepts. Preferred qualifications include experience with Generative AI Agents and applied ML.

This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns.

Software Engineering Manager to lead a team building AI-native, agentic systems for developer productivity, focusing on secure-by-default launches and automating model introspection. This role involves technical leadership, team building, and cross-functional collaboration.

Staff Software Engineer for Google Cloud Networking Security team in Bangalore, focusing on building and operating large-scale network security services. The role involves defining technical strategy, leading the implementation of AI/ML features for threat detection and automated responses, and providing technical guidance and mentorship. Requires experience in software development, network security, distributed systems, cloud, and AI/ML.

Software Engineer III, Backend role at Google, focused on building a next-generation platform for security mechanisms that will enable AI agents to operate in production. The role involves implementing features, writing and testing code, debugging issues, and partnering with other engineers and stakeholders.

Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp.

Staff UX Front-End Engineer for YouTube, focused on building high-fidelity prototypes and experimental frameworks for GenAI-driven creation tools. The role involves establishing a prototyping program with shared sandboxes and reusable toolsets to enable designers to create functional prototypes reflecting AI-driven media generation. Responsibilities include leading prototyping for AI video features, developing a creation design system, and driving the design-to-code evolution.

Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products.

This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. It involves technical leadership, customer engagement, and guiding customers through the implementation of AI models, including fine-tuning and RAG.

Product Strategy and Operations Principal for Google Cloud AI, focusing on evolving legacy systems to Agentic ecosystems. This role involves strategic analysis, roadmap development, and translating AI infrastructure needs into business strategies and Go-To-Market plans, with a focus on designing agent systems.

Senior Software Engineer role focused on applying Operations Research and Machine Learning techniques to enhance Gemini and improve developer workflows with optimization agents. The role involves building technology to solve complex optimization problems and democratizing optimizations through new surfaces.

Senior Software Developer role focused on building cloud-based integration platforms for AI agents in customer support, connecting Generative AI to users across chat and voice surfaces. The role involves end-to-end development, technical leadership, and collaboration with product, UX, and AI research teams.

Staff Software Engineer to lead the technical strategy for a Generative AI pillar focused on building an extensible agent platform for automating compliance execution within Google Cloud Platform services. Responsibilities include static code analysis, auto-generating compliance code, and providing chat assistance for technical questions.

Senior Staff Software Engineer role focused on defining the roadmap and architecture for Agentic Applications within Google Cloud. The role involves developing an intelligent query layer, driving cross-organizational collaboration for agent ingestion and serving, and owning complex roadmaps related to exabyte-scale storage solutions for these applications.

Software Engineer role focused on transforming a web application (NotebookLM) to support interconnected AI agents and long-running, goal-seeking tasks, balancing user simplicity with agentic workflow power for mass consumer markets. The role involves end-to-end feature prototyping and building, linking back-end capabilities to user journeys, and driving engineering-product alignment in an evolving AI space.

Senior Technical Solutions Consultant role focused on architecting and implementing a Digital Twin ecosystem for Google's consumer hardware product design and manufacturing. The role involves full-stack GCP cloud-native development, integration of Vertex AI/Gemini Enterprise, and pioneering autonomous agents for insights and automations. Responsibilities include engineering microservices, deploying and monitoring AI agents, and leading code reviews for both full-stack code and agentic orchestration.

The role focuses on applying AI and agentic engineering principles to optimize Google's CoreOS compute infrastructure. Responsibilities include conceptualizing AI strategies, building tools for kernel quality insights, managing fix rollouts, designing tests, debugging kernel issues, and providing technical leadership. The role involves a mix of exploration, engineering, and productionization, aiming to revolutionize how CoreOS is worked on, tested, released, and supported using AI.

This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling.

UX Engineer for Robot Infrastructure at DeepMind, focusing on human-robot interaction, teleoperation, and collaboration with autonomous agents. The role involves architecting full-stack web applications for robotics fleet management and ML training data systems, partnering with ML researchers and engineers to create seamless user experiences, and adapting to emerging AI capabilities.

Manager role focused on transforming support tooling from assisted to autonomous support by leading the Agentic AI strategy. This involves governing the federation of AI agents, designing governance and maintenance processes, and bridging operations and engineering to build solutions for case management, troubleshooting, and workflow automation.

Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management, AI-assisted journeys, and intelligent agents for monitoring and troubleshooting. The role involves technical leadership, team management, and collaboration across multiple database teams within GCP.

This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions.

Customer Engineer role focused on deploying and scaling Gemini Enterprise AI workloads for enterprise customers, involving technical unblocking, deployment planning, and driving adoption of AI-assisted workflows and multi-modal agents.

Senior Software Engineer role focused on building AI-based security controls to prevent data exfiltration, specifically addressing threats from autonomous AI agentic actions within Google's enterprise systems.

This role sits at the intersection of product development and creative storytelling within Google Search Marketing. The Creative Technologist will bridge the gap between engineers, researchers, and creatives by prototyping and developing novel demos that showcase the capabilities of AI features like generative AI, visual search, and multimodal experiences. The role involves translating complex technology into compelling technical storytelling, identifying new use cases, and executing technical demonstrations for high-visibility events. It requires a blend of technical and creative skills to inspire teams and develop breakthrough creative concepts.

Software Engineer role focused on building and supporting infrastructure components for Google Ads, specifically developing LLM-based agentic AI solutions and related infrastructure. The role involves writing Java code, participating in design reviews, and contributing to documentation for AI agents.

Senior Software Developer role focused on integrating AI agents with telephony systems for customer support. The role involves end-to-end development of communication systems, defining technical direction for telephony integrations, and ensuring reliable, scalable, and intelligent Generative AI experiences. It requires expertise in telephony stacks (PSTN, SIP, WebRTC) and experience with ML infrastructure and software development.

Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans.

Staff Software Engineer role focused on defining strategy and developing solutions for agentic cloud use cases within Google Cloud. Requires strong software development, design, and architecture experience, with a preference for experience in building agentic systems.

Staff Software Engineer role at Google Cloud focusing on AI and ML, specifically in building AI Agents, Agentic AI, and ML models with NLP capabilities for security products. The role involves leading a full-stack team, designing, developing, testing, and deploying platforms, and collaborating with various stakeholders.

Google is seeking a Staff Software Developer to join their Conversational Agents team, focusing on building and serving large-scale chat and voice bots. This role involves technical leadership, influencing a distributed team, and designing/developing/deploying large-scale software solutions for AI-driven conversational agents. The team is part of the rapidly growing Cloud AI product suite, transforming enterprise customer connections through AI.

Staff Software Engineer role focused on building applied AI products and developer infrastructure for YouTube, with an emphasis on Generative AI tools and multi-modal agents to improve the development process.

Staff Software Engineer role focused on building AI for developers within Google Search, leveraging agentic frameworks and LLM-powered automation to enhance developer experience and build scalable platform systems.

Software Engineer role focused on building AI-based agents and a full-stack application for workflow automation within the AI and Infrastructure organization at Google Cloud. The role involves defining requirements, leading development, and implementing features to automate core tasks and improve program delivery.